# polarisR: Tips, Requirements, and Support

This vignette provides supplementary information for using `polarisR`, including best practices, technical requirements, and support resources.

    library(polarisR)

## Tips and Best Practices

Data Quality Considerations:

- Ensure sufficient numeric columns for analysis
- Handle missing values before upload
- Consider data scaling if variables have very different ranges
- Minimum 50+ observations recommended for stable NLDR results

## Technical Requirements

- R Version: R >= 4.1.0
- quollr Version: 0.3.7
- Key Dependencies: shiny, plotly, DT, quollr, Rtsne, umap
- Browser: Modern web browser with JavaScript enabled
- Memory: Sufficient RAM for your dataset size (recommend 4GB+ for large datasets)

## Support

For questions, bug reports, or feature requests, please visit:

- GitHub Repository: https://github.com/Divendra2006/polarisR
- Issues: https://github.com/Divendra2006/polarisR/issues